This edition contains background on acceptance sampling, a review of the various types of plans, and formulation of nine specific sampling plans. It also features several new developments in continuous sampling plan procedures and evaluations.Contents:Basic Elements of a Sampling Plan Evaluation of the Performance of Sampling Plans Quality Level Indexing Types of Sampling Plans Attributes and Variables of Data and Sampling Plans Single, Double, Multiple, and Sequential Sampling Plans Lot by Lot Sampling Nomographs and Their Use Sampling Tables and Their Use

New to the second edition: A section on Acceptance-on-Zero plans, additional screenshots from the newly-designed SQCOnline.com with several new calculators, and improved book design for enhanced readability. Practical Acceptance Sampling is a hands-on introduction to the inspection of products and services for quality assurance using statistically-based sampling plans. In today’s era of global supply chains, the path from raw materials to final product often takes place over multiple companies and across multiple continents. Acceptance sampling is key in the 21st century environment. Acceptance sampling plans provide criteria and decision rules for determining whether to accept or reject a batch based on a sample. They are therefore widely used by manufacturers, suppliers, contractors and subcontractors, and service providers in a wide range of industries. The book introduces readers to the most popular sampling plans, including Military Standards and civilian ISO and ANSI/ASQC/BS standards. It covers the design, choice and performance evaluation of different types of plans, including single- and double-stage plans, rectifying and non-rectifying plans, plans for pass/fail and continuous measurements, continuous sampling plans, and more. Practical Acceptance Sampling is suitable for courses on quality control and for quality practitioners with basic knowledge of statistics. It offers clear explanations, examples, end-of-chapter problems, and illustrations of state-of-the-art online resources. Methods are illustrated using Microsoft Excel, online calculators, and SQCOnline.com. However, any statistical software can be used with the book. A companion website to the book is available at www.SamplingBook.com

Harold F. Dodge in 1945 defined an acceptance sampling plan, CSP-1, for inspecting a continuous sequence of units or lots which are outputs from a process operating in statistical control. The plan is to guarantee there will be a maximum average percent of nonconforming units in the inspected units equal to a selected Average Outgoing Quality Limit (AOQL). For twenty-six plans investigated when process conditions differ from those of Dodge, the average percent nonconforming only in a finite number of units inspected will be less than or equal to the AOQL of Dodge. Also, when the process percent nonconforming is changing according to certain patterns investigated, the average percent passing inspections will be practically no larger than the AOQL under Dodge assumptions.